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Seminar Series: Understanding Entrainment in Human Groups: Optimising HRC from Lessons Learned during Human-Human Collaboration

WHEN: 03 Jul


Join us for this special webinar, organised by Dr Stine Johansen from our Human-Robot Interaction program.

“Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration”

Presented by Dr Eike Schneiders, Transitional Assistant Professor at the School of Computer Science, University of Nottingham.


Successful entrainment during collaboration positively affects trust, willingness to collaborate, and likeability towards collaborators. In this paper, we present a mixed-method study to investigate characteristics of successful entrainment leading to pair and group-based synchronisation. Drawing inspiration from industrial settings, we designed a fast-paced, short-cycle repetitive task. Using motion tracking, we investigated entrainment in both dyadic and triadic task completion. Furthermore, we utilise audio-video recordings and semi-structured interviews to contextualise participants’ experiences. This paper contributes to the Human-Computer/Robot Interaction (HCI/HRI) literature using a human-centred approach to identify characteristics of entrainment during pair- and group-based collaboration. We present five characteristics related to successful entrainment. These are related to the occurrence of entrainment, leader-follower patterns, interpersonal communication, the importance of the point-of-assembly, and the value of acoustic feedback. Finally, we present three design considerations for future research and design on collaboration with robots.

Dr Eike Schneiders is a Transitional Assistant Professor at the School of Computer Science, University of Nottingham. His research focuses on Human-Computer and Robot Interaction (HCI/HRI). He received his PhD in Computer Science from Aalborg University in Denmark, where he investigated, how the inclusion of robots influences interactions and collaborations within non-dyadic groups. Previous projects Eike has worked on include the investigation of systems using artificial intelligence (e.g., personal assistant or domestic robots), the impact of collaborative robots on working rhythms and interpersonal relationships, data visualisation, as well as artist-led research. During his research, he employs a mixed-method approach combining qualitative and quantitative methods. While he focuses on in-the-wild studies, he also conducts a variation of controlled studies (e.g., online or lab-based studies). Most recently Eike has worked on several interdisciplinary TAS Hub ( and RAi UK ( funded projects at the intersection between Medicine and ML, Law and AI, or Interactive art, AI, and animal welfare.